ForWarn II

Satellite-Based Change Recognition and Tracking


 Selected Publications that use ForWarn data

  • Hargrove, WW, JP Spruce, GE Gasser, FM Hoffman, 2009. Toward a national early warning system for forest disturbances using remotely sensed canopy phenology. Photogrammetric Engineering and Remote Sensing. 75: 1150 - 1156.
  • Hoffman, FM, RT Mills, J Kumar, SS Vulli, WW Hargrove. 2010. Geospatiotemporal data mining in an early warning system for forest threats in the United States. In: Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010), July 25-30, 2010, Honolulu, Hawaii, USA.
  • Kumar, J., RT Mills, FM Hoffman, WW Hargrove. 2011. Parallel k-means clustering for quantitative ecoregion delineation using large data sets. Procedia Computer Science. 4: 1602 - 1611.
  • Spruce, JP, S Sader, RE Ryan, J Smoot, P Kuper, K Ross, D Prados, J Russell, G Gasser, R McKellip, W Hargrove. Assessment of MODIS NDVI time series data products for detecting forest defoliation by gypsy moth outbreaks. Remote Sensing of Environment. 115: 427 - 437.
  • Norman, SP, WW Hargrove. 2012. Land surface phenology as a coarse-filter indicator of disturbance and climate effects across the coast redwood range. In: Standiford, Richard B.; Weller, Theodore J.; Piirto, Douglas D.; Stuart, John D., tech. coords. Proceedings of coast redwood forests in a changing California: A symposium for scientists and managers. Gen. Tech. Rep. PSW-GTR-238. Albany, CA: Pacific Southwest Research Station, Forest Service, U.S. Department of Agriculture. pp. 657 - 665.
  • Norman, SP, WW Hargrove, JP Spruce JP, WM Christie, SE Schroeder 2013. Highlights of satellite-based forest change recognition and tracking using the ForWarn system. US Forest Service SRS-GTR-180. Asheville, NC.
  • Mills, RT, J Kumar, FM Hoffman, WW Hargrove, JP Spruce, SP Norman. 2013. Identification and visualization of dominant patterns and anomalies in remotely sensed vegetation phenology using a parallel tool for principal components analysis. Procedia Computer Science 18: 2396 - 2405.
  • Norman, SP, FH Koch, WW Hargrove. 2016. Review of broad-scale drought monitoring of forests: Toward an integrated data mining approach. Forest Ecology and Management. 380: 346 - 358.
  • Norman, SP, WW Hargrove, WM Christie. 2017. Spring and autumn phenological variability across environmental gradients of Great Smoky Mountains National Park, USA. Remote Sensing. 9(5): 407 - 424. 
  • Norman, Steven P.; Christie, William M. 2020. Chapter 7 - Satellite-based evidence of forest stress and decline across the conterminous United States for 2016, 2017, and 2018 ( In: Potter, Kevin M.; Conkling, Barbara L., eds. Forest health monitoring: national status, trends, and analysis 2019. Gen. Tech. Rep. SRS-250. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station: 151-166 (



Awards and Recognition